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Detection of Trending Topic Communities: Bridging Content Creators and Distributors, , , and . Proceedings of the 28th ACM Conference on Hypertext and Social Media, page 205--213. New York, NY, USA, ACM, (2017)Systematic Mapping on Embedded Semantic Markup Validated with Data Mining Techniques., , and . AHFE (13), volume 1213 of Advances in Intelligent Systems and Computing, page 384-391. Springer, (2020)Cognitive Systems for Urban Planning: A Literature Review., , and . SmartCity360°, volume 323 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 249-270. Springer, (2019)What kind of content are you prone to tweet? Multi-topic Preference Model for Tweeters., and . CoRR, (2018)Modeling users preferences in online social networks.. Pompeu Fabra University, Spain, (2018)A system for extracting and comparing memes in online forums., , , , and . Expert Syst. Appl., (2017)Detection of Trending Topic Communities: Bridging Content Creators and Distributors.. FDIA, BCS, (2017)Detection of Trending Topic Communities: Bridging Content Creators and Distributors., , , and . HT, page 205-213. ACM, (2017)Who is suitable to be followed back when you are a Twitter interested in Politics?, and . DG.O, page 94-99. ACM, (2017)Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations., , , , , and . IEEE Trans. Emerg. Top. Comput., 7 (2): 206-217 (2019)